Spectral Characteristics of Digitally Modulated Signals

Similar documents
minimize c'x subject to subject to subject to

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e

Handout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach

Inner Product Spaces INNER PRODUCTS

Linear Prediction Analysis of

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

Linear Prediction Analysis of Speech Sounds

Three Phase Asymmetrical Load Flow for Four-Wire Distribution Networks

Chapter 5: Quantization of Radiation in Cavities and Free Space

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l


Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

R. 7.5 E. R. 8 E. ! ( y R. S a Clackamas County. . Sa. Zi gzag R. S almon R. U.S. Forest Service 63. acka m a. Wasco. County. Jefferson. County.

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

(ril"s::lli '*Y, ,dr4{n. w.j. ",;:ii:{..._, I i,ai I. AOEP'IIICKOTO MyHI4TIUIIA.JTbHO O PAI,rOrrA nepmckoto KpA.fl TIOCTAHOBJTEHPIE

III Z-Plane Analysis

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

ADDENDUM NO. 3 TO BID DOCUMENTS FOR LIGHT POLE PAINTING PROJECT FOR THE CITY OF ANN ARBOR, MICHIGAN

Gilbert the Green Tree Frog

Study on Non-linear Responses of Eccentric Structure

Introduction to Laplace Transforms October 25, 2017

P a g e 5 1 of R e p o r t P B 4 / 0 9



46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th

GEORGE F. JOWETT. HOLDER -of NUMEROUS DIPLOMAS and GOLD. MEDALS for ACTUAL MERIT

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

Vr Vr

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r


LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v

How to Make a Zia. (should you ever be inclined to do such a thing)

ktmuwii INDEPENDENT IN Al.t THINCIS. NEUTRAL IN NOTHING* Sold at Cast. AI.GE" IS DKVI). Lowell's Bright Boy Stricken With Small Pox at Manila.

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r

TABLES AND INFORMATION RETRIEVAL

Some New Classes of Orthogonal Polynomials and Special Functions: A Symmetric Generalization of Sturm-Liouville Problems and its Consequences

GNSS-Based Orbit Determination for Highly Elliptical Orbit Satellites

1. This question is about homeopathic solutions

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone.

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

n r t d n :4 T P bl D n, l d t z d th tr t. r pd l

,. *â â > V>V. â ND * 828.

n

The Z transform techniques

Wedge clamp, double-acting for dies with tapered clamping edge

3.4 Properties of the Stress Tensor

,.*Hffi;;* SONAI, IUERCANTII,N I,IMITDII REGD- 0FFICE: 105/33, VARDHMAN GotD[N PLNLA,R0AD No.44, pitampura, DELHI *ffigfk"

Current Programmed Control (i.e. Peak Current-Mode Control) Lecture slides part 2 More Accurate Models

Humanistic, and Particularly Classical, Studies as a Preparation for the Law

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD

Numerical Method: Finite difference scheme

Photon-phonon interaction in photonic crystals

Planar convex hulls (I)

The news and ideas magazine for the Independent Agents of United American and First United American Life Insurance Companies


Section 5.1/5.2: Areas and Distances the Definite Integral

rhtre PAID U.S. POSTAGE Can't attend? Pass this on to a friend. Cleveland, Ohio Permit No. 799 First Class

Symbolic Nodal Analysis of Analog Circuits with Modern Multiport Functional Blocks

IIT JEE MATHS MATRICES AND DETERMINANTS

TER T U L OFEREE O URRET TREDS TEHOLOGY O OE [6] G OSYTHETS E P T VEME hv xl lly Gy xvly u k uv hk u l u v wll ly ul ly y lf x ly ul f l lly (F

R e p u b lic o f th e P h ilip p in e s. R e g io n V II, C e n tra l V isa y a s. C ity o f T a g b ila ran

LARf,DO INDEPENDENT SCHOOL DISTR 904 Juarez Ave.. Laredo, Texas Ph. 956 Tax Office. s7.76%

Noise in electronic components.

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

On the Existence and uniqueness for solution of system Fractional Differential Equations

ADDENDUM NO.1 July 22, The City University of New York Request for Proposals. Student Housing Project Project No. CU

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

ASSERTION AND REASON

Colby College Catalogue

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th

Colby College Catalogue

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

Tausend Und Eine Nacht

APPENDIX F WATER USE SUMMARY

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

b.) v d =? Example 2 l = 50 m, D = 1.0 mm, E = 6 V, " = 1.72 #10 $8 % & m, and r = 0.5 % a.) R =? c.) V ab =? a.) R eq =?

Executive Committee and Officers ( )

Num g 2 5 Hv ul ll hg ly ym ly ju l h ll u mu ll ul y yl hg ly h hllg gu m mu hg, (ly v L Bu 9 Rgul u 2005 [ 2005 Rgul (Egl) Em) ju lm Elly gul] R h l

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

The Z-Transform in DSP Lecture Andreas Spanias

is: 3o>« P 6 Jsgg E 2 si O j= o ocq O o & s r 3 O O K O r " CD r cd as c 3 ^th ^ "OU a 5 " c ?.53 drag S.S pqc O r OT3 4J o >> o.- X h 5 c o o C C :_

Dg -Trrr hrugh Nwrk-- M qu (NM) I V. L ITERATURE RE VIEW Mqu y gr r I y hu y wrh ryr. Durg r rh r ur, qu wr u h hqurr h I ur rh, r u rg, h whr u wr r

1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1.

Data, frameworks, and financial instrument identification

Chapter 5 Transient Analysis

2sin cos dx. 2sin sin dx

MM1. Introduction to State-Space Method

Transcription:

Strl Chrtrt of Dgtlly odultd Sgl 6:33:56 Wrl Couto holog Srg 5 Ltur7&8 Drtt of Eltrl Egrg Rutgr Uvrty Ptwy J 89 ught y Dr. ry dy ry@wl.rutgr.du Doutd y Bozh Yu ozh@d.rutgr.du trt: h ltur frt trodu th tdrd rrtto of ol d gl of dgtl odultd gl d t owr trl dty PSD. h t how how th PSD of d gl lwy otd y t ol d volo. Flly two ortt odulto h OFD d PSK r trodud d th trl hrtrt of th two odultd gl r dud.. PSD of odultd Bd Sgl w ow tht dwdth ffy vry ortt ftor for hoog odulto h. o lr th dwdth ffy of o odulto h w d to gt th owr trl dty of th orrodg odultd gl. Grlly dgtlly odultd gl wrtt t R{ t j f whr t th d quvlt ol volo d th rdo h. o lult th PSD of t w rwrt t : t { t + v t j f * jf h th PSD of t drvd y: τ t + τ t t + τ t j + v * t + τ t + t + τ v * t + v * t + τ v * t jf jf f τ + f jf f τ + Orv tht W got ± f jf τ + jfτ τ * τ + τ * τ w got τ jf τ f [ f f + * f f rl d v w got f [ f f + f + f So th PSD of d gl t oltly dtrd y th PSD of t ol d vlo t. oqu th rult of rfor of vrou odulto d dodulto thqu r ddt of rrr frqu d hl frquy d... Stdrd Fort: Stdrd Rrtto of Col Bd Sgl W ow ov o to tudy th tdrd rrtto of ol d gl of dgtlly odultd gl. Grlly th d gl t wrtt : v t t whr th rrr ltud... th our K yol qu K th ory lgth whh dd o odulto h th yol durto d t quvlt hg futo of durto.

h th tdrd rrtto of th ol d gl.. El of ltud-shft Kyg SK odulto For SK odulto w hv whr yol qu v t h t { { + j h t th our th ltud hg ul qur wv or othg l Hr whh o ory. d th quvlt hg futo: t h t h d gl t wrtt : t { h t o[f t + rg whr + d rg t. PSD of Bd Sgl w hv gv th tdrd rrtto of th d ol vlo of th odultd d gl. W u t to gt th PSD of th d gl. Rll: v t t h t utoorrlto gv y: t + τ t t + τ v * t t + τ * t Cl: t ylottory ro.. t + τ t rod t wth rod Proof: t + + τ t + t + + τ v * t + t + + τ * t + Lt - d - t + + τ t + t + τ + * t u th our yol ttory.. th w hv + t + + τ t + t + τ * t t + τ t So t ylottory. hu τ otd y tg th t vrg of t + τ t.. τ + t * t dt + τ Chg vrl: t- w got τ + z * dz + τ Lt - τ + + z + τ z + τ So t PSD gv y f S [ * z + τ + * dz z + τ jfz dz * dz * dz jf j f τ jf z+ τ

whr [ * t τ jfz B f B f dz jfτ jf B * f jf h for of th quvlt ul hg futo t. { vl t l v t v t. v v t t dt t j t dt δj th Fourr trfor of Orvto: h PSD of t dd o: h orrlto rort of our qu. Whl th ov gv frquy do rrtto or hrtrt for f ddt t. Wht out th rrtto of whol l of fl wvfor? Grlly t durg yol trvl log to rrtd tr t of orthoorl futo { t <... whr d t E t + E t whr E th yol rgy th wvfor. O oulr SK - wth our yol : + j whr { ± ± 3 ± 5... ± d. For th of 6- th gl otllto how Fg t E t Fg Sgl Cotllto of 6- h PSD of 6- gl : S f H f Whr th vr of yol H f th Fourr trfor of h t f w hoo h t rd o wth rolloff ftor β. 5 th Fg how th PSD of th 6 gl. j f For th SK t R{ t t. t of for th gl : t h tof t t h tf t t t Fg PSD of 6- wth h t tr of d w hv rd o futo

V. OFD whr t. Wht OFD Orthogol Frquy Dvo odulto OFD lo odulto h dgd to ot th fft of ultth frquy ltv fdg. OFD lo of gl our yol h of durto od to lo of rlll odultd yol h of wth durto. ho uh tht: >> δ τ th RS dly rd. So th hl wll loo l flt fdg hl d th d for qulzto vod. lo h our yol th lo of lgth trttd rlll y loyg orthogol urrr th yol rt o h urrr uh l th th rl our rt. rult th fft of dly rd rdud. h r th dvtg of OFD.. Rrtto of OFD gl h ol vlo of OFD odultd gl : v t t whr { t r orthogol wvfor t ho h t{ j t -. d h t u t whh rtgl ul. th frquy rto { t r orthogol. W tht t t tt our yol r trttd ug th dtt urrr. Uully r ho fro otllto. h tdrd fort th gv y v t t h t j t { {... 3. Why OFD ttrtv? OFD odulto ttrtv u t hvd y ug thr vr drt Fourr trfor DF or vr ft Fourr trfor FF. Codr d gor th frquy fft j t tr {. lo hoo h t t w hv t u t j { t f w l t t t w got { j { j Dot { - h { { r jut th FF of th lo whr... So th trttr y to lt. Fg 3 how th h of OFD trttr. Fg 3 OFD trttr. PSD of OFD Sgl u th our yol r zro d th ltud hg ul h t th th PSD of t gv y

S f δ H f whr δ f h t u t th H f f. Fg how th PSD of t th : hg ul th z of lht { ± ± 3... ± Fg 5 how th gl otllto of th 8PSK Oft w hoo h t u t d Fg 5 Cotllto of 8PSK h t u t or rd o ul. Fg PSD of OFD gl W fro th fgur tht th lo rr or rt of th rgy r. h l tht w gt ttr trl ffy r. V. Ph Shftg Kyg PSK Wht PSK PSK rh th gr for of odulto ot wdly utlzd otorry rt rgg fro vo-d od to hgh-d tllt tro. th uggt th gl t grtd y h odulto of uodl rrr to o of qud h oto. For -ry PSK gl th tdrd fort of t ol d gl gv y v t t whr t h t{ j h t whr o ory h t th ltud hg ul h t th h. PSD of PSK gl Lt u uorrltd our yol d h t u t lo w u our yol r qul rol d dfd y t: { :... h t h t{ j h t d t h t f h t whr f h rult followd fro th followg: { j α t f α t Rll: f S [ * τ jfz dz jfτ jf For uorrltd our yol w hv

S f jf τ z τ * dz j [ h τ h z h τ h z dz { [ h τ h z h τ h z dz { [ h τ h z t l dt t > t Fg 6 PSD of PSK wth dffrt W hv S f h H f Choo τ h h t u t th f S f [ f f E [ f whr E log z jf τ z dz f [ f th yol rgy d. For fr oro of dwdth ffy wth dffrt w uttut wth log d gt: S f log f log [ f log Fg 6 how th PSD of th PSK gl wth dffrt. Hr th dwdth ffy R dfd η B d th dwdth B B hr dfd th ull-to-ull dwdth. Fro th fgur w gt tl whh how th dwdth ffy of PSK wth dffrt. l Bdwdth ffy of PSK 8 6 3 6 η.5.5..5 3. B Fro th tl w tht th dwdth ffy η B r r for -ry PSK. Howvr t th owr ffy dr r du to th lor dtt tw dffrt gl th otllto. V. Coluo th ltur th PSD of odultd gl r dud. Frt w howd tht th PSD of d gl t oltly dtrd y th PSD of t ol d vlo t. h two ortt odulto h OFD d PSK r trodud. OFD odulto ot oly good to fght ult-th fdg ut lo y to lt g t vry ttrtv for hgh t-rt wrl lto ultth rdo vrot. -ry PSK lo wdly ud otorry rt rgg fro vo-d od to hgh-d tllt tro. Rfr: [. Rort Wrl Couto.

Prl d Prt. d Edto Prt-Hll Eglwood Clff J: 996. [ J. Pro Dgtl Couto th Edto Grw-Hll Y:. [3 S. G. Wlo Dgtl odulto d Codg. Prt-Hll 996 [ ry dy Ovrvw of OFD htt://www.wl.rutgr.du/~r y/cour/wsd/wd-lf.pp.